Bayesian multi-parameter quantum metrology with limited data

@article{Rubio2019BayesianMQ,
  title={Bayesian multi-parameter quantum metrology with limited data},
  author={Jes{\'u}s Rubio and J. Dunningham},
  journal={arXiv: Quantum Physics},
  year={2019}
}
  • Jesús Rubio, J. Dunningham
  • Published 2019
  • Physics, Mathematics
  • arXiv: Quantum Physics
  • We propose a strategy to study - and possibly design - protocols for multi-parameter scenarios where the measurement data is limited, and for which our prior knowledge is moderate. While this is a realistic regime that emerges frequently in practice, many theoretical studies typically include assumptions such as a large number of repetitions or copies of the system, a high amount of prior information, or complete ignorance for a single shot. Therefore, there is an unmet need of developing… CONTINUE READING

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    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 143 REFERENCES
    Quantum metrology in the presence of limited data
    12
    Non-asymptotic quantum metrology
    3
    Non-asymptotic quantum metrology : extracting maximum information from limited data
    2
    Flexible resources for quantum metrology
    23
    Compatibility in multiparameter quantum metrology
    84
    Networked quantum sensing
    9